Here, we discuss the isolation of reserved resources for slices. When the random traffic demand from slice \(s\)  exceeds the reserved traffic rate for it, the tenant needs to allocate more resources to support the demand. This can violate the resource reservation for other slices and hurt the QoS for users served by other slices. Each slice desires to isolate its reserved resources as much as possible [1]}, [2]}. Although static network slicing provides complete resource isolation among slices, it performs poorly due to its inflexibility in supporting time-varying user demands [3]}. The dynamic network slicing better supports user demands, although it increases the risk for violation of resource isolation for slices. To increase the slice isolation, we minimize the expected excessive demand from each slice, which is calculated as follows:
\(\int _{\sum _{k \in \mathcal {K}_s}\sum _{p\in \mathcal {P}_{k}}r_{k}^{p}}^{\infty }(y-\sum _{k \in \mathcal {K}_s}\sum _{p\in \mathcal {P}_{k}}r_{k}^{p})f_{s,S_n}(y)dy.\) 
